Automatic meta-data sharing of existing media

ABSTRACT

Automatic meta-data sharing of existing media method and apparatus are disclosed. In one embodiment, a method of a server device includes analyzing a media data of a client device to determine a meta-data identifier associated with the media data and automatically populating a new mark-up language file using an existing media-collection data associated with certain items of the media data. The meta-data identifier may be generated by a client application that is agnostic of a type of media player application compatible with the media data. The new mark-up language file may include an arrangement of the existing media-collection data of the certain items associated with the media data of the client device. A compatibility rating may be determined between the users based on the similar attributes between the arrangement and the other arrangements and enabling each user of the server device to view mark-up language files of the other users.

CLAIM OF PRIORITY

This application is a continuation-in-part application and claims priority from:

-   -   U.S. Non-Provisional application Ser. No. 11/375,911 titled         “AUTOMATIC META-DATA SHARING OF EXISTING MEDIA” filed on Mar.         15, 2006, and     -   U.S. Non-Provisional application Ser. No. 12/104,458 titled         “AUTOMATIC META-DATA SHARING OF EXISTING MEDIA TO CREATE         STREAMABLE COLLECTIONS” filed on Apr. 17, 2008.

FIELD OF TECHNOLOGY

This disclosure relates generally to the technical fields of software, database, and/or hardware technology and, in one example embodiment, to a method and/or apparatus of automatic meta-data sharing of existing media.

BACKGROUND

A user (e.g., a music fan, a movie patron, a computer gaming patron, an e-book reader) may share information about their media preferences (e.g., musical, theatrical, artistic, cultural, hobby, etc.) and their activities (e.g., recent behaviors, likings, tastes) through a variety of mechanisms (e.g., through a web page). For example, the user may share information about their media preferences by communicating thoughts in a blog (e.g., a personal chronological log of thoughts published on a web page) and/or in a profile summary in a relationship network system (e.g., MySpace.com®, LinkedIn®, Friendster®, Match.com®, Plaxo®, etc.).

The user may have to spend time and/or energy to write down thoughts about their media preferences in the blog and/or through the relationship network system. The user may not have a disposition (e.g., a habitual inclination, a tendency, etc.) to communicate their thoughts by writing them (e.g., typing them) in the blog and/or through the relationship network system. Furthermore, the user may not recollect what types of media (e.g., songs, games, movies, shows, etc.) they recently patronized (e.g., listened to, watched, played, read, etc.). The user may have to search a data processing system (e.g., a computer system) and/or a media device (e.g., an Apple® iPod®, a mobile phone) to determine this information.

A marketing organization (e.g., a record label, a vendor, and/or a service provider) may make recommendations to the user for a new media purchase based on business analytics (e.g., transaction patterns such as those found through comparisons of habits/tendencies of similar purchasers) of the user (e.g., and/or by other users, customers, subscribers, patrons, etc. associated with the marketing organization). Such business analytics may be limited (e.g., by lack of sufficient data, accuracy, etc.) in their assessment of the user's preferences.

Furthermore, when the user is repeatedly presented with options that are not to the user's liking (e.g., the recommendations may not provide an accurate description of a user's taste in media), the user may choose to ignore and/or may lose faith in recommendations of the marketing organization. In addition, sometimes the new media presented by the marketing organization may be already owned and/or possessed by the user (e.g., causing the user to be annoyed that such an option has been recommended).

As a result, the user may verbally speak with like-minded individuals (e.g., friends, family, and/or acquaintances) to get a sense of their interests (e.g., the user may trust their recommendations more than that of the marketing organization). Verbally speaking with like-minded individuals can be a slow process because the user may have to telephone, visit, and/or socially meet with the like-minded individuals. Similarly, the user may read periodicals and/or websites publishing information about preferences of other individuals the user admires (e.g., famous musicians, actors, authors, politicians, athletes, etc.). These periodicals and/or websites may be difficult to find and may be published infrequently. As such, the user may choose to hold off in transacting (e.g., purchasing) the new media and/may delay developing a passion (e.g., a lively and/or eager admiration of a media form, and gratuitously promoting the media form with focused interest) for the user's favorite existing media preferences.

SUMMARY

An automatic meta-data sharing of existing media method and apparatus are disclosed. In one aspect, a method of a server device includes analyzing a media data of a client device to determine a meta-data identifier associated with the media data and automatically populating a new mark-up language file using an existing media collection data associated with certain items of the media data. The meta-data identifier may be generated by a client application that is agnostic of a type of media player application compatible with the media data. The new mark-up language file may include an arrangement (e.g., a collection, a hierarchy, etc.) of the existing media-collection data of the certain items associated with the media data of the client device. The existing media-collection data may be executable by interested parties as a radio station.

The new mark-up language file and the arrangement may be associated with a particular user. In addition, the particular user may be associated with other mark-up language files associated with other users based on similar attributes in the arrangement of the particular user and other arrangements associated with the other users. A compatibility rating may be determined between the user and the other users based on the similar attributes between the arrangement and the other arrangements and each user of the sewer device may be enabled to view mark-up language files of the other users. A particular one of the other users may be registered when the particular one of the other users responds to a hook data in a communication between the user and the other users. A group may be formed between the user and at least one of the other users based on a threshold parameter of the compatibility rating. The other users may include an admired user whose contribution is shared with the group.

The new mark-up language file may include a 30 second media segment of certain items of the media data that is associated with the existing media-collection. The media data may be a multimedia data and the meta-data identifier may be determined primarily based on an audio data embedded in the multimedia data. The existing media collection data may be generated by analyzing a usage pattern of at least one of the client device and a peripheral device. The peripheral device may be a portable media player and the client device may be a two-way mobile communication device.

A widget chosen from a group including a party widget, a personal details widget, a tag widget, a guestbook widget, an internal messaging widget, a share widget, a photo widget, a tuned-in now widget, a post widget, a reviews widget, and/or a live event widget may be applied to the new mark-up language file. The widget may be a drag and drop widget and the content data created using the post widget may be automatically displayed on the new mark-up language file and an artist mark-up language file, an album mark-up language file, a particular item mark-up language file, and/or a fan club mark-up language file. The content data may be displayed before other content data when a peer client device affiliated with the client device reaches the artist mark-up language file, the album mark-up language file, the particular item mark-up language file, and/or the fan club mark-up language file through the new mark-up language file.

A payment may be processed from an interested party when the new mark-up language file develops a patron base above a threshold value and an advertisement of the interested party may be displayed on the new mark-up language file. The new mark-up language file may be localized in any number of languages including English, Japanese, Korean, Hindi, German, French, Russian, Arabic, Hebrew, Spanish, Mandarin, Cantonese and/or Italian.

In another aspect, a method of a client device includes communicating a media data to a server device to determine at least one meta-data identifier associated with the media data and automatically refreshing a new mark-up language file using an existing media-collection data associated with the certain items of the media data. The at least one meta-data identifier may be applied such that it is agnostic of a type of media player application compatible with the media data. An arrangement of the existing media collection data associated with the certain items of the media data may be developed.

In yet another aspect, a network includes a client device to apply at least one meta-data identifier such that it is agnostic of a type of media player application compatible with the media data and a server device to automatically populate a new mark-up language file using a existing media-collection data associated with at least some content identified by the at least one meta-data identifier. In addition the network may include a peer client device that is assigned a kin status with the client device based on similarity between the existing media-collection data of the client device and another existing media-collection data of the peer client device. The network may also include an admired client device to share an admired media-collection data with the client device and the peer client device.

The methods, systems, and apparatuses disclosed herein may be implemented in any means for achieving various aspects, and may be executed in a form of a machine readable medium embodying a set of instructions that, when executed by a machine, cause the machine to perform any of the operations disclosed herein. Other features will be apparent from the accompanying drawings and from the detailed description that follows

BRIEF DESCRIPTION OF THE DRAWINGS

Example embodiments are illustrated by way of example and not limitation in the figures of the accompanying drawings, in which like references indicate similar elements and in which:

FIG. 1 is a network view of a server device, a client device, a peer client device and an admired client device communicating media data through a network, according to one embodiment.

FIG. 2 is block diagram of the server device of FIG. 1, having a media requestor module, a media processing module, a profile generator module, a transaction module, and a user group generator module, according to one embodiment.

FIG. 3 is an exploded view of the profile generator module of FIG. 2, according to one embodiment.

FIG. 4 is an exploded view of the client application module of FIG. 1, according to one embodiment.

FIG. 5 is a system view of the client application module of FIG. 1 communicating media data from a peripheral device and/or a client device to a new markup language file through a network, according to one embodiment.

FIG. 6 is a diagrammatic representation of a data processing system capable of processing a set of instructions to perform any one or more of the methodologies herein, according to one embodiment.

FIG. 7 is a user interface view of the widget select module of FIG. 3, according to one embodiment.

FIG. 8 is a user interface view of the new mark-up language file of FIG. 2, according to one embodiment

FIG. 9 is a user interface view of the artist mark-up language file, according to one embodiment.

FIG. 10 is a user interface view of the override module of FIG. 2, according to one embodiment.

FIG. 11 is a flow chart illustrating a method to automatically populate a new mark-up language file using an existing media-collection data associated with certain items of the media data, according to one embodiment.

FIG. 12 is a flow chart that further describes the operations in FIG. 11, according to one embodiment.

FIG. 13 is a flow chart illustrating a method of the client device to communicate media data to the server device and refreshing a new mark-up language file, according to one embodiment.

Other features of the present embodiments will be apparent from the accompanying drawings and from the detailed description that follows.

DETAILED DESCRIPTION

An automatic meta-data sharing of existing media method and apparatus are disclosed. In the following description, for the purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the various embodiments. It will be evident, however to the one skilled in the art that the various embodiments may be practiced without these specific details.

Prior implementations have attempted to create online media portals where specific groups of enthusiasts can meet and interact based on common media-based interests. Media-based interests may include music, movies, games, books, or anything where users can develop a common interest. However, current implementations may limit themselves to one specific type of media or genre (e.g., music, movies, sports, etc.). Such limitations may be due to the technical challenges in identifying and cataloging media that exists within a broad range of mediums (e.g., music files, video files, and varying digital formats like mp3, ogg, divx, and xvid). Differing file types require differing methods of identification, and current methods fail to account for this challenge.

In addition, many implementations require a substantial amount of user input which can include manually listing music preferences, uploading media files, or actively searching out specific users with common interests. Where media uploading is required, users are generally limited not only by the type of media being used, but also by the apparatus and software used in conjunction with said media. Current attempts to provide an automated process to such media portals via unique “identifiers” are further limited to specific technologies and circumstances.

The current implementation, as proposed, attempts to address the technical limitations set forth above.

An example embodiment provides methods and systems of a server device 100 (as illustrated in FIG. 1) to analyze a media data 116 (e.g., the media data 116 of FIG. 1) of a client device 104 (as illustrated in FIG. 1) to determine at least one meta-data identifier associated with the media data 116 and to automatically populate a new mark-up language file (e.g., the new mark-up language file 214 of FIG. 2) using an existing media-collection (e.g., an history of media consumed by a user) data associated with certain items of the media data 116.

Another example embodiment provides methods and systems of a client device 104 to communicate a media data 116 to a server device 100 to determine at least one meta-data identifier associated with the media data 116 and to automatically refresh a new mark-up language (e.g., the new mark-up language file 214 of FIG. 2) using an existing media-collection data associated with certain items of the media data 116.

An additional example embodiment provides for a network 102 which includes a client device 104 to apply at least one meta-data identifier such that it is agnostic of a type of media player application compatible with the media data 116 and a server device 100 to automatically populate a new mark-up language file (e.g., the new mark-up language file 214 of FIG. 2) using an existing media-collection data associated with at least some content identified by the at least one meta-data identifier. It will be appreciated that the various embodiments discussed herein may/may not be the same embodiment, and may be grouped into various other embodiments not explicitly disclosed herein.

FIG. 1 is a network diagram of a server device 100, a client device 104, a peer client device 106 and an admired client device 108 the communicating media data 116 through a network 102 (e.g., an Internet network, a local area network, a wide area network, etc.) according to one embodiment. In one embodiment the client device 104 may apply at least one meta-data identifier such that it is agnostic of a type of media player application (e.g., unknown of the type of media player application) compatible with the media data 116. The term “meta-data identifier,” or MDI as referred to in one embodiment, is best defined as a number of pre-defined elements representing specific attributes embedded in a media data, where each element can have one or more values. The broadness of this definition is intended to address technical limitation present in prior art. Such MDIs can include data actually embedded into a source media file that goes beyond simple external measurements or calculations. For example, external calculations can include measuring the length of an audio or video file, or noting the track number of an audio file based upon its placement relative to other audio files within a single audio CD. Furthermore, external calculations can include screen or web scrapping, which does not include information embedded in the source media data itself. Unlike these types of external calculations, MDIs alluded to in one embodiment include data which is a part of the media file. For example, MDIs can include information such as MP3 ID tags, sonic recordations of the song, or unique identifiers embedded by online music stores to their version of the song, etc.

The client device 104 may include a client application module 110 and a peripheral device 112 according to one embodiment. The client application module 110 may be best understood with reference to FIG. 4, as will later be described. In one embodiment the server device 100 automatically populates a new mark-up language file (e.g., the new mark-up language file 214 of FIG. 2) using an existing media-collection data associated with at least some content (e.g., media content) identified by the at least one meta-data identifier. The term “some content” as referred to in one embodiment, is best defined as the “media data.”

The term “media data,” as referred to in one embodiment is best defined as the data for an audio or video stream in a presentation encoded in a non-medium specific digital format. Such a definition is intended to refer to most reiterations of digital audio or video data, regardless of format and/or medium. Furthermore, this broadened definition explicitly disclaims audio streams that necessarily exist as WAV files within a standard audio CD. Furthermore, the use of such media data that comes in a number of open source and proprietary formats presents both a novel use and approach to overcoming the technical limitations of prior art. For example, users attempting to upload AAC music files from an Apple® iPod® may encounter a specific set of compatibility issues separate from another user uploading mp3 files with a Microsoft® Zune. Consequently, “media data” as defined here would encompass both formats.

The peer client device 106 may be assigned a kin status with the client device 104 (e.g., related to the client device 104) based on similarity between the existing media collection data of the client device 104 and another media-collection data (e.g., existing and/or new) of the peer client device 106 according to one embodiment. The term “existing media-collection data,” as referred to one embodiment, is best defined as the totality of all media data and MDIs currently stored and accessed in conjunction with the sample embodiments. Furthermore, as discussed earlier, the term “media data” encompasses a broad range of media formats and mediums that is uncovered by prior art. In one embodiment the admired client device 108 may share an admired media-collection data (e.g., a history data admired by the client device 104 and/or the peer client device 106) with the client device 104 and the peer client device 106. The client device 104, the peer client device 106 and the admired client device 108 may together form a client group 114 (e.g., shown on the mark-up language file 214 by the client group display 808 of FIG. 8) based on similarities in the existing media-collection data. Additional details of FIG. 1 are best understood with reference to FIG. 2, FIG. 3 and FIG. 4.

FIG. 2 is block diagram of the server device 100 of FIG. 1 having a media requestor module 200, a media processing module 202, a profile generator module 204, a user profile database 206, a media database 208, a relationship module 210, an override module 212, a transaction module 216, and a new mark-up language file 214, according to one embodiment. The media requestor module 200 may create a media data request (e.g., request for media data 116 of FIG. 1) and the server device 100 may communicate the media data request to the client device 104 through the network 102 as illustrated in FIG. 1, according to one embodiment.

In one embodiment the server device 100 may analyze the media data 116 of the client device 104 to determine at least one meta-data identifier associated with the media data 116 and may automatically populate a new mark-up language file (e.g., the new mark-up language file 214 of FIG. 2) using a play-list history data (e.g., an existing media-collection data) associated with certain items of the media data 116. The term “populating,” as referred to in one embodiment, is best defined as the creation of a new mark-up language file (defined below) based upon and utilizing applicable data. More specifically, “populating” refers to the use of existing media-data collection data (as defined below), determined relevant by meta-data identifiers, to create a new mark-up language file. Populating in this sense does not include meta-data identifiers resulting from external calculations, but meta-data identifiers as described above. Furthermore, populating does not include the use of other external means such as data gained from text scrapping of websites or other online sources. Also, the term “certain items,” as referred to in one embodiment, is best defined as the meta-data identifiers, or MDIs.

Specifically the media processing module 202 may process the media data 116 received from the client device 104. The media processing module 202 may include a data analyzer 218 and media algorithms 220. The data analyzer 218 may be used to analyze the media data 116 using a processor (e.g., such as a processor 602 of FIG. 6) to determine at least one meta-data identifier associated with the media data. The data analyzer 218 may also reference media algorithms 220 and/or a media database 208 to analyze and/or process the media data 116 communicated by the client device 104. The media data 116 received by the data analyzer 218 may be multimedia data according to one embodiment. Particularly, the at least one meta-data identifier may be determined by the data analyzer 218 by referencing media algorithms 220 and/or media database 208 and carrying out comparative analysis of the media data (e.g., comparison of audio data embedded in the multimedia data with a known value in the media database 208) to identify content (e.g., media content) associated to the at least one meta-data identifier.

The term “determine,” as referred to in one embodiment is best defined as establishing after a calculation. Not only does the term “determine” indicate a means of automatically establishing meta-data identifiers, the term also alludes to overcoming technical challenges not addressed by prior art. Again, the existence of media data that spans varying formats and mediums presents numerous technical challenges in attempting to identify the media data. Use of “determine” in one embodiment is intended to highlight novel means of calculating data present in any media data, to determine at least one meta-data identifier, regardless of the format or medium being used. Furthermore, “determine” as used herein can in one embodiment include calculation of media embedded database technologies such as ID3 and sonic recognition tools (i.e., tools to determine pitch and key), allowing for much more efficient use of identifier based methods, which are not covered or reasonably alluded to in prior art. Again, “determine,” as contemplated in herein, does not include formats which do not encompass the above definition of “media data” (i.e., WAV files enclosed in a standard audio CD).

The profile generator module 204 may be used to generate a user profile (e.g., a user media profile) based on analyzing a user's media data 116 (e.g., analysis of a playlist history data associated with certain items of the media data, meta-data identifier, etc.) communicated by the client device 104 (as illustrated in FIG. 1) and associating an arrangement (e.g., any hierarchy, arrangement and/or collection such as a music collection on a hard drive) of the play-list history data (e.g., e.g., existing media-collection data) and a new mark-up language file (e.g., the new mark-up language file 214 of FIG. 2) which may include the arrangement of the play-list history data to the user. The profile generator module 204 is best understood with reference to FIG. 3, as will later be described.

The term “mark-up language file,” as referred to in one embodiment, is best defined as a file based upon a system for annotating text that directly supports non-hierarchical structures. As such, because HTML is built on a hierarchical structure it is not contained within the definition of “mark-up language file” as contemplated herein. Furthermore, such a definition extends “mark-up language file” beyond the use of traditional web-based languages, thereby increasing its ability to address technical limitations posed by prior art.

The relationship module 210 may establish relationships between a particular user profile and other user profiles by associating a particular user with other mark-up language files associated with other users based on similar attributes (e.g., songs, artists, albums, movies, genre, authors, etc.) in the arrangement (e.g., hierarchy of the play-list history data) of the particular user and other arrangements associated with other users, according to one embodiment. In one embodiment the relationship module 210 may include a profile analyzer 222 and compatibility algorithms 224. The profile analyzer 222 may reference the user profile database 206 and/or the compatibility algorithms 224 to analyze and establish relationships between a particular user profile and other user profiles. Specifically, the profile analyzer 222 may determine a compatibility rating between the user and the other users based on similar attributes (e.g., songs, artists, albums, movies, genre, authors, etc.) between the arrangement (e.g., hierarchy of the play-list history data of the user) and the other arrangements (e.g., hierarchy of the playlist history data of the other user) and enable each user of the server device 100 (illustrated in FIG. 1) to view mark-up language files (e.g., web pages) of the other users.

In one embodiment the relationship module 210 may register (e.g., relate and/or connect) a particular one of the other users when the particular one of the other users responds to a hook data (e.g., an invitation to connect, invitation to join a group, etc.) in a communication between the user and the other users. The relationship module 210 may also form a group (e.g., the client group 114 illustrated in FIG. 1) between the user (e.g., the client device 104 of FIG. 1) and at least one of the other users (e.g., the peer client device 106 of FIG. 1) based on a threshold parameter (e.g., a certain value) of the compatibility rating. The group (e.g., the client group 114 illustrated in FIG. 1) may also include an admired user (e.g., the admired client device 108 of FIG. 1) whose contribution (e.g., play-list history data of the admired user, suggestions, media discovery, etc.) may be shared with the group. The relationship module may automatically populate details of a group (e.g., client group display 808 as illustrated in FIG. 8) to the user's mark-up language file (e.g., the new mark-up language file 214 of FIG. 2).

The override module 212 may be used to facilitate a user override (e.g., manually override automatic system settings) to modify the arrangement of the play-list history data associated with the media data 116. In one embodiment the server device 100 of FIG. 1 may generate a modified arrangement based on applying an addition (e.g., adding media content), deletion (e.g., deleting media content) and/or an adjust (e.g., changing and/or replacing media content) operation of the user override on the arrangement (e.g., hierarchy) and automatically populating a new mark-up language file (e.g., the new mark-up language file 214 of FIG. 2) based on the modified arrangement. Specifically the arrangement of the play-list history data associated with media data 116 communicated by the profile generator module 204 may be modified with the help of a user interface (e.g., the user interface view of the override module 212 of FIG. 10) to generate a modified arrangement. This modified arrangement may then be populated on the new mark-up language file 214. For example, based on a particular user's usage pattern the system may decide a user's media history (e.g. “Summer of 69” as the last song played, etc.) or a user's media rating (e.g., Bryan Adams as the top artist this month, etc.). But the user may have consumed other media (e.g., listened to Aerosmith on a friend's computer and/or a radio station, etc.) which may not have been addressed by the system. User override may allow the user to manually override the system settings and replace media content with more accurate description of the user's media consumption (e.g., replace Bryan Adams in the earlier example with Aerosmith). The user interface view of override module 212 is best understood with reference to FIG. 10, as will later be described.

The profile generator module 204 may then be used to generate a new user profile (e.g., modified user profile) based on the modified arrangement. The relationship module 210 may also be used to develop new groups (e.g., like the client group display 808 of FIG. 8) and relationships based on the modified arrangement generated by the override module 212 between the user (e.g., client device 104 of FIG. 1) and at least one of the other users (e.g., peer client device 106 and/or admired client device 108) based on a threshold parameter of the new compatibility rating. Specifically a new profile (e.g., modified user profile) for a user may be generated by associating the particular user with the new mark-up language file 214 and the modified arrangement. The particular user may also be associated with other mark-up language files associated with other users based on similar attributes (e.g., songs, artists, albums, movies, genre, authors, etc.) in the modified arrangement (e.g., hierarchy) of the particular user and other arrangements (e.g., hierarchies) associated with other users. A new compatibility rating may be determined between the user and the other users based on similar attributes between the modified arrangement and the other arrangements by a procedure similar to the one described for the relationship module 210 of FIG. 2.

In one embodiment, the modifying operation may be performed on a widget from a group comprising of a party widget, a personal detail widget (e.g., the personal detail widget 816 of FIG. 8), a tag widget (e.g., the tag widget 906 of FIG. 9), a guestbook widget, an internal messaging widget (e.g., the internal messaging widget 904 of FIG. 9), a share widget (e.g., the share widget 814 of FIG. 8), a photo widget (e.g., the photo widget 812 of FIG. 8), a tuned-in now widget (e.g., the tuned-in now widget 908 of FIG. 9), a post widget (e.g., the post widget 902 of FIG. 9), a reviews widget, and/or a live event widget. Especially when a delete operation is performed on the post widget (illustrated in FIG. 9), content data created using the post widget 902 may be automatically deleted from the new mark-up language file 214 and from an artist mark-up language file, an album mark-up language file, a particular item mark-up language file, and/or a fan club mark-up language file simultaneously. For example by deleting a particular post widget (e.g., post on Bob Dylan) from the new mark-up language file (e.g., the mark-up language file 214 of FIG. 2) the post not only gets deleted from the mark-up language file 214 but also gets deleted from the artist mark-up language file (e.g., the artist mark-up language file 900 of FIG. 9 belonging to Bob Dylan) simultaneously.

The transaction module 216 may process a payment from an interested party (e.g., vendor, service provider, etc.) when the new mark-up language file (e.g., the new markup language file 214 illustrated in FIG. 2) develops a patron base (e.g., a fan following, popularity, etc.) above a threshold value (e.g., number of hits that the new mark-up language file may receive) and may display an advertisement (e.g., the advertisement 810 in FIG. 8) of the interested party on the new mark-up language file 214.

In one embodiment, operations may begin in the server device 100 of FIG. 1 when the media data 116 requested by the media requestor module 200 from the client device 104 is received by the media processing module 202. Specifically, the media data 116 may be transmitted to the data analyzer 218. The data analyzer 218 may then reference media algorithms 220 and/or media database 208 to determine the meta-data identifier and/or identify the content associated with the meta-data identifier of the media data 116 based on comparison of the audio data embedded in the multimedia data of media data 116 with the media database 208. The profile generator module 204 may then generate a user profile based on associating the arrangement of the play-list history data of the media data and the new mark-up language file with the user. The user profile may be stored in the user profile database 206. The profile generator module 204 may further process the media data and automatically populate it on the new mark up language file (e.g., based on the widgets selected by the user though the widget select module 310 as described later in FIG. 3).

FIG. 3 is an exploded view of the profile generator module 204 of FIG. 2 having a widget generator module 300, a data analyzer 302, a media update module 304, a media history module 306 and a media rating module 308 according to one embodiment. The widget generator module 300 may be used to generate and apply widgets chosen (e.g., based on a preference of a user) from a group of widgets (e.g., a party widget, a personal details widget, a guestbook widget, an internal messaging widget, a share widget, a photo widget, a tuned-in now widget, a post widget, a reviews widget, a live event widget, and/or a media sample widget, etc.) to the new mark-up language file (e.g., the new mark-up language file 214 of FIG. 2).

According to one embodiment the widget generator module 300 may include a widget select module 310, a tag module 312, a party module 314, a guestbook module 316, a tuned-in now module 318, a live event module 320, a photo module 322, a reviews module 324, a personal detail module 326, an internal messaging module 328, a post module 330, a share module 332 and/or a media sample module 334. The widget select module 310 may provide a user interface for selecting widgets. The widget select module 310 is best understood with reference to FIG. 7, as will later be described.

The tag module 312 may be used to generate a tag widget (e.g., the tag widget 906 of FIG. 9) to allow a user to avail the tag feature (e.g., display top tags, tag a song, etc.) in the new mark-up language file 214 (illustrated in FIG. 2). The party module 314 may be used to generate a party widget to allow a user to publicize party information (e.g., parties hosted next week, top parties, etc.) through the new mark-up language file 214. The guestbook module 315 may be used to generate a guestbook widget to allow a user to receive comments (e.g., related to the users page, suggestions, etc.) from other users through the new mark-up language file 214. The tuned-in now module 318 may be used to generate a tuned-in now widget (e.g., the tuned-in now widget 908 of FIG. 9) which may be displayed on a artist mark-up language file (e.g., the artist mark-up language file 900 of FIG. 9), an album mark-up language file, a particular item markup language file and/or a fan club mark-up language file to provide a user with information about other users availing similar media content (e.g., other users tuned in to the same song, album, artist, etc.) in real time. The live event module 320 may be used to generate a live event widget to allow a user to provide information regarding live events (e.g., live events happening this week, best live events in the country, etc.) on the new mark-up language file 214. The photo module 322 may be used to generate a photo widget (e.g., the photo widget 812 of FIG. 8) to permit a user to upload a picture to the new mark-up language file 214.

The reviews module 324 may be used to generate a reviews widget to allow a user to review media (e.g., review a song, artist, album, etc.) on the artist mark-up language file, the album mark up language file, the particular item mark-up language file, the fan club mark-up language file and the new mark-up language file 214. The personal detail module 326 may be used to generate a personal detail widget (e.g., the personal detail widget 816 of FIG. 8) to allow a user to share personal information (e.g., Name, Age, Sex, etc.) on the new mark-up language file 214. The internal messaging module 328 may be used to generate an internal messaging widget (e.g., the internal messaging widget 904 of FIG. 9) to permit a user to communicate to other users on the server device 100 (e.g., the server device 100 of FIG. 1) through the new mark-up language file 214. The share module 332 may be used to generate a share widget (e.g., the share widget 814 of FIG. 8) to allow a user to share his/her mark-up language file 214 with other users on the server device 100. The media sample module 334 may be used to generate a media sample widget to permit a user to sample a media segment (e.g., a 30 second media segment) of certain items (e.g., a song, a movie, etc.) of the media data 116 that is associated with the play list history on the new mark-up language file 214. In one embodiment, the play-list history data may executable by interested parties (e.g., other users) as a radio station (e.g., and/or a video station, a multi-media channel, as a streaming video channel, etc.).

The post module 330 may be used to generate a post widget (e.g., the post widget 902 of FIG. 9) to allow a user to author (e.g., write) a post and the content of the post may be automatically displayed on the new mark-up language file 214 as well as on an artist mark-up language file, an album mark-up language file, a particular item mark-up language file and/or a fan club mark-up language file, according to one embodiment. In one embodiment the post module 330 may display the content data of the post before other content data (e.g., other content data of other posts) when a peer client device (e.g., the peer client device 106 of FIG. 1) affiliated with the client device (e.g., the client device 104 of FIG. 1) reaches the artist mark-up language file, the album mark-up language file, the particular item mark-up language file and/or the fan club mark-up language through the new mark-up language file 214. For example, when a user say John Doe reaches an artist mark-up language file (e.g., the artist mark-up language file 900 of FIG. 9 pertaining to Bob Dylan) through the new mark-up language file (e.g., the new mark-up language file 214 of FIG. 8 belonging to Evan de Boer), John Doe will see posts authored by Evan de Boer before other posts on the Bob Dylan page.

In one embodiment the data analyzer 302 may analyze the media data 116 and transmit it to populate the new mark-up language file 214 as per instructions communicated by the media update module 304, the media history module 306, the media rating module 308 and/or the widget select module 310. The data analyzer 302 may analyze and/or organize the media data 116 by linking the meta-data identifier determined by the media processing module 202 (illustrated in FIG. 2) with its corresponding play-list history data whose content has been identified by the meta-data identifier. The data analyzer 302 may also generate a user profile by associating an arrangement of the play-list history data and the new mark-up language file (e.g., the mark-up language file 214 of FIG. 2) which may include the arrangement of the playlist history data to a user. The data analyzer 302 may communicate the user profile to the user profile database 206 (illustrated in FIG. 2).

The media update module 304 may be used to generate a media update (e.g., the media update 804 in FIG. 8) that may be displayed on the new mark-up language file 214 to reflect any changes to the user's media collection (e.g., recent movies added to collection, new books read, etc.). The media history module 306 may by used to provide a media history (e.g., the media history 802 of FIG. 8) on the new mark-up language file 214 to provide a chronology of the user's media consumption (e.g., last songs played, last movies seen, etc.). The media rating module 308 may be used to generate a media rating (e.g., the media rating 806 of FIG. 8) on the new mark-up language file 214 based on a statistical analysis of the user's media consumption (e.g., top songs this month, top parties this month, etc.).

FIG. 4 is an exploded view of the client application module 110 of the client device 104 of FIG. 1 having a data analyzer 400, a client device scan module 402, a peripheral device scan module 404, a meta-data identifier module 406 and a play-list history module 408 according to one embodiment. In one embodiment the client device 104 may communicate a media data (e.g., the media data 116 of FIG. 1) to a server device 100 to determine at least one meta-data identifier associated with the media data and/or may automatically refresh a new mark-up language file (e.g., the new mark-up language file 214 of FIG. 2) using a play-list history data associated with certain items of the media data 116. The term “refreshing,” as referred to in one embodiment, is best defined as the automatic updating or renewing of information contained in a “mark-up language file,” based upon changes in both the meta-data identifiers and media data contained within the client device. For example, an individual who adds a new file to their client device, whether mp3 audio, divx video file, or other format, will automatically have those changes reflected on a new mark-up language file regardless of the format of the new file. Thus, the broad scope of “media data” as contemplated in one embodiment goes beyond the purview of limitations present in prior art. Refreshing in this sense does not include meta-data identifiers resulting from external calculations, but meta-data identifiers as described above. Furthermore, refreshing does not include the use of other external means such as data gained from text scrapping of websites or other online sources.

In particular, the client application module 110 may scan a client device 104 (illustrated in FIG. 1) and/or the peripheral device 112 (illustrated in FIG. 1) for media data 116 (illustrated in FIG. 1), generate a play-list history of the media data 116, tag the media data with a meta-data identifier and/or communicate the media data 116 to the server device 100 (illustrated in FIG. 1). The client device scan module 402 may scan for media data (e.g., the media data 116 of FIG. 1) on the client device 104 which may be a two-way mobile communication device (e.g., cell phone of FIG. 5). The peripheral device scan module 404 may scan for media data (e.g., the media data 116 of FIG. 1) on the peripheral device 112 (illustrated in FIG. 1) which may be a portable media player (e.g., mp3 player of FIG. 5).

The meta-data identifier module 406 may be used to generate a meta-data identifier in a manner in which the client application module 110 may be agnostic of the type of media player application (e.g., unknown of the type of media player application) compatible with the media data 116, according to one embodiment. The meta-data identifier module 406 may then apply the meta-data identifier to tag the media data (e.g., the media data 116 of FIG. 1 obtained by scanning the client device 104 and/or the peripheral device 112) with a unique identifier in a manner in which the client device 104 may be agnostic of the type of media player application compatible with the media data.

The play-list history module 408 may generate a play-list history from the media data 116 obtained from the client device 104 and/or the peripheral device 112 based on an analysis of the usage pattern of the client device 104 and/or the peripheral device 112. The play-list history module 408 may also develop an arrangement of the play-list history data associated with the certain items of the media data 116, according to one embodiment. The data analyzer 400 may be used to analyze the media data request from the server device 100 and may process and compile the media data 116 (illustrated in FIG. 1) with the help of a processor (e.g., the processor 1012 of FIG. 10) by using the client device scan module 402, the peripheral device scan module 404, the meta-data identifier module 406 and/or the play-list history module 408 and communicate the media data 116 to the server device 100.

In one embodiment, operations may begin in the client device 104 of FIG. 1 when it receives a request for media data from the media requestor module 200 of FIG. 2. Specifically the media data request may be received by the data analyzer 400 of the client application module 110 of FIG. 4. The client device scan module 402 may then scan the client device for media data. Similarly the peripheral device scan module 404 may also scan the peripheral device for media data. The media data may then be received by the data analyzer 400 which may then link it to a unique meta-data identifier generated by the meta-data identifier module 406. The play-list history module 408 may develop an arrangement of the play-list history data based on analysis of the usage pattern of the client device 104 and/or the peripheral device 112. The data analyzer 400 may analyze the play-list history data and/or the meta-data identifier associated to the media data, compile the media data and communicate the media data to the server device 100 of FIG. 1.

FIG. 5 is a system view of the client application module 110 which may extract and compile the media data 116 from a client device (e.g., a cell phone) and/or a peripheral device (e.g., an mp3 player) and communicate the media data 116 over a network 102 to a server device 100. The server device 100 may then process the media data 116 and/or automatically populate the same on to a new mark-up language file 214.

FIG. 6 shows a diagrammatic representation of machine in the example form of a computer system 600 within which a set of instructions, for causing the machine to perform any one or more of the methodologies discussed herein, may be executed. In various embodiments, the machine operates as a standalone device and/or may be connected (e.g., networked) to other machines. In a networked deployment, the machine may operate in the capacity of a server and/or a client machine in server-client network environment, and/or as a peer machine in a peer-to-peer (or distributed) network environment. The machine may be a personal computer (PC), a tablet PC, a set-top box (STB), a Personal Digital Assistant (PDA), a cellular telephone, a web appliance, a network router, switch and/or bridge, an embedded system and/or any machine capable of executing a set of instructions (sequential and/or otherwise) that specify actions to be taken by that machine. Further, while only a single machine is illustrated, the term “machine” shall also be taken to include any collection of machines that individually and/or jointly execute a set (or multiple sets) of instructions to perform any one and/or more of the methodologies discussed herein.

The example computer system 600 includes a processor 602 (e.g., a central processing unit (CPU) a graphics processing unit (GPU) and/or both), a main memory 604 and a static memory 606, which communicate with each other via a bus 608. The computer system 600 may further include a video display unit 610 (e.g., a Liquid Crystal Display (LCD) and/or a cathode ray tube (CRT)). The computer system 600 also includes an alphanumeric input device 612 (e.g., a keyboard), a cursor control device 614 (e.g., a mouse), a disk drive unit 616, a signal generation device 618 (e.g., a speaker) and a network interface device 620.

The disk drive unit 616 includes a machine-readable medium 622 on which is stored one or more sets of instructions (e.g., software 624) embodying any one or more of the methodologies and/or functions described herein. The software 624 may also reside, completely and/or at least partially, within the main memory 604 and/or within the processor 602 during execution thereof by the computer system 600, the main memory 604 and the processor 602 also constituting machine-readable media.

The software 624 may further be transmitted and/or received over a network 626 via the network interface device 620. While the machine-readable medium 622 is shown in an example embodiment to be a single medium, the term “machine-readable medium” should be taken to include a single medium and/or multiple media (e.g., a centralized and/or distributed database, and/or associated caches and servers) that store the one or more sets of instructions. The term “machine-readable medium” shall also be taken to include any medium that is capable of storing, encoding and/or carrying a set of instructions for execution by the machine and that cause the machine to perform any one or more of the methodologies of the various embodiments. The term “machine-readable medium” shall accordingly be taken to include, but not be limited to, solid-state memories, optical and magnetic media, and carrier wave signals.

FIG. 7 is a graphical user interface view of the widget select module 310 used to select widgets for the new mark-up language file 214. Available widget view 700 shows a list of widgets that a user can pick. Chosen widget view 702 shows a list of widgets chosen from the available widget view 700. Widgets may be dragged and dropped from the available widget view 700 to the chosen widget view 702. Users can edit a particular widget using the edit buttons in the chosen widget view 702.

FIG. 8 is a graphical interface view of a new mark-up language file 214 of FIG. 2. Media collection 800 may show the entire media collection of a user. Media history 802 may show a list of media consumed by a user in a chronological order (e.g., last songs played by a user). Media update 804 may reflect any changes in a user's media collection (e.g., new media added to the user's collection). Media rating 806 may provide a rating based on a statistical analysis of a user's media consumption (e.g., top artist, top song, etc.). Client group display 808 may show list of other users connected to the user based on similarities in media consumption of the user and the other users. Advertisement 810 may be an advertisement from an interested party from whom a payment may be processed to display the advertisement on the new mark-up language file 214. Photo widget 812 may be one of the widgets that a user can select from the widget select module 310 to display a picture on the new mark-up language file 214. Share widget 814 may be a widget for a user to share his/her mark-up language file with other users on the server device 100. Personal detail widget 816 may be a widget for a user to provide his/her personal information (e.g., Name, Age, Sex, etc.) on the new mark-up language file 214.

FIG. 9 is a graphical interface view of an artist mark-up language file 900, according to one embodiment. Internal messaging widget 904 may be used to communicate with other users of the server device 100. Tag widget 906 may display a list of tags for a particular media and allow a user to provide a tag of his/her choice for the particular media. Tuned-in now widget 908 may display a list of users tuned-in to a particular media in real time (e.g., list of users on the server device 100 listening to a particular song in real time). Post widget 902 may allow a user to create a post on the new mark-up language file 214, the artist mark-up language file, the album mark-up language file, the particular item mark-up language file, and/or the fan club mark-up language file.

FIG. 10 is a graphical interface view of the override module 212 of FIG. 2, according to one embodiment. The interface may allow a user to modify contents associated to the play-list history data (e.g., thereby generate a modified arrangement of the play-list history data) of the media data 116. Media history view 1000 may provide a chronology of media consumed (e.g., last songs played). Media collection view 1002 may display the entire media collection held by a user. Client group view 1004 may display the group formed by the relationship module 210 of FIG. 2 based on similarities in media consumption. Media update view 1006 may display the changes in a user's media collection (e.g., recently added to music collection). User may modify (e.g., add, delete, change and/or replace) contents with the help of adjust buttons provided in the user interface.

FIG. 11 is a flow chart illustrating a method to automatically populate a new mark-up language file (e.g., the mark-up language file 214 of FIG. 2) using an existing media collection data (e.g., a play-list history data) associated with certain items of the media data, according to one embodiment. In operation 1102, media data of a client device (e.g., client device 104 of FIG. 1) may be analyzed (e.g., by using data analyzer 218 of FIG. 2) to determine at least one meta-data identifier associated with the media data. In operation 1104, a new mark-up language file may be automatically populated using an existing media-collection data associated with certain items of the media data. In operation 1106, a widget chosen from a group (e.g., by using the widget select module 310 of FIG. 3) comprising of a party widget, a tag widget, a guestbook widget, an internal messaging widget, a tuned-in now widget, a post widget, a reviews widget, and a live event widget may be applied to the new mark-up language file. In operation 1108, the new mark-up language file and the arrangement may be associated with a particular user. In operation 1110, the particular user may be associated with other mark-up language files associated with other users based on similar attributes in the arrangement of the particular user and other arrangements (e.g., hierarchies) associated with the other users. In operation 1112, a compatibility rating may be determined (e.g., by using the relationship module 210 of FIG. 2) between the user and the other users based on the similar attributes between the arrangement and the other arrangements.

FIG. 12 is a flow chart that describes further the operations in FIG. 11, according to one embodiment. FIG. 12 begins with a ‘circle A’ that connotes a continuation from operation 1112 of FIG. 11 (e.g., FIG. 11 concludes with the ‘circle A’). First in operation 1202, each user of the server device may be enabled to view mark-up language files of the other users. In operation 1204, a particular one of the other users may be registered when the particular one of the other users responds to a hook data in a communication between the user and the other users. In operation 1206, a group (e.g., the client group 114 of FIG. 1) may be formed (e.g., by using the relationship module 210 of FIG. 2) between the user and at least one of the other users based on a threshold parameter of the compatibility rating. In operation 1208, a payment may be processed (e.g., by using the transaction module 216 of FIG. 2) from an interested party when the new mark-up language file develops a patron base above a threshold value. In operation 1210, an advertisement of the interested party may be displayed on the new mark-up language file. In operation 1212, the new mark-up language file may be localized in at least one of a plurality of languages comprising English, Japanese, Korean, Hindi, German, French, Russian, Arabic, Hebrew, Spanish, mandarin, Cantonese, and Italian.

FIG. 13 is a flow chart illustrating a method of the client device to communicate media data to the server device and refreshing a new mark-up language file according to one embodiment. In operation 1302, a media data (e.g., the media data 116 of FIG. 1) may be communicated to a server device to determine at least one meta-data identifier associated with the media data. In operation 1304, the at least one meta-data identifier may be applied (e.g., by the client application module 110 of FIG. 1) such that it is agnostic of a type of media player application compatible with the media data. The term “apply,” as referred to in one embodiment, may be best defined as the creation of at least one meta-data identifier for each of the media data in the client device 104. Such creation of a meta-data identifier overcomes the technical limitations that have stalled prior art, by providing for a method of identification that adapts to varying media formats and mediums. In addition, the term “agnostic,” as referred to in one embodiment, is best defined as the creation of a meta-data identifier (MDI) such that it can be utilized regardless of what type of format or medium the media data is created in. For example, MDIs could be readily ascertained and utilized regardless or not track number and/or track length can be determined. Similarly, agnostic in this sense may not include usage of track numbers or track lengths to determine MDIs, where such use is dependent on the existence of data in the form of a standard audio CD. Rather, agnostic MDI's could constitute, for example, MP3 ID tags, sonic recordations of the song, or unique identifiers embedded by online music stores to their version of the song. These particular examples provide a means of identifying media data without the need to use external calculations normally present when determining song lengths and track numbers based on a particular song's placement within a standard audio CD, or when using text scrapping techniques that involve no examination of the actual media data.

In operation 1306, an arrangement of the existing media-collection data associated with the certain items of the media data may be developed. In operation 1308, a new mark-up language file may be automatically refreshed using an existing media-collection data associated with the certain items of the media data.

Although the present embodiments have been described with reference to specific example embodiments, it will be evident that various modifications and changes may be made to these embodiments without departing from the broader spirit and scope of the various embodiments. For example, the various devices, modules, analyzers, generators, etc. described herein may be enabled and operated using hardware circuitry (e.g., CMOS based logic circuitry), firmware, software and/or any combination of hardware, firmware, and/or software (e.g., embodied in a machine readable medium).

For example, the client application module 110 (and all the modules in the client application module 110 as illustrated in FIG. 4), the media requestor module 200, the media processing module 202, the profile generator module 204, the relationship module 210, the override module 212, the transaction module 216, the widget generator module 300 (and all the modules within the widget generator module 300), the media update module 304, the media history module 306, and/or the media rating module 308, may be enabled using transistors, logic gates, and electrical circuits (e.g., application specific integrated ASIC circuitry) using a client circuit, a media requestor circuit, a media processing circuit, a profile generator circuit, a relationship circuit, a override circuit, a transaction circuit, a widget generator circuit, a media update circuit, a media history circuit, and/or a media rating circuit.

In addition, it will be appreciated that the various operations, processes, and methods disclosed herein may be embodied in a machine-readable medium and/or a machine accessible medium compatible with a data processing system (e.g., a computer system), and may be performed in any order. Accordingly, the specification and drawings are to be regarded in an illustrative rather than a restrictive sense. 

1. A method of a server device comprising: analyzing a media data of a client device to determine at least one meta-data identifier associated with the media data; and automatically populating a new mark-up language file using an existing media collection data associated with certain items of the media data.
 2. The method of claim 1 wherein the meta-data identifier is generated by a client application that is agnostic of a type of media player application compatible with the media data.
 3. The method of claim 1 wherein the new mark-up language file includes an arrangement of the existing media-collection data of the certain items associated with the media data of the client device, and wherein the existing media collection data is executable by interested parties as a radio station.
 4. The method of claim 3, further comprising associating the new mark-up language file and the arrangement with a particular user; and associating the particular user with other mark-up language files associated with other users based on similar attributes in the arrangement of the particular user and other arrangements associated with the other users.
 5. The method of claim 4 further comprising: determining a compatibility rating between the user and the other users based on the similar attributes between the arrangement and the other arrangements; and enabling each user of the server device to view mark-up language files of the other users.
 6. The method of claim 5 further comprising registering a particular one of the other users when the particular one of the other users responds to a hook data in a communication between the user and the other users.
 7. The method of claim 5 further comprising forming a group between the user and at least one of the other users based on a threshold parameter of the compatibility rating.
 8. The method of claim 7 wherein the other users include an admired user whose contribution is shared with the group.
 9. The method of claim 1 wherein the new mark-up language file includes a 30 second media segment of certain items of the media data that is associated with the existing media-collection data.
 10. The method of claim 1 wherein the media data is a multimedia data and wherein the meta-data identifier is determined primarily based on an audio data embedded in the multimedia data.
 11. The method of claim 1 wherein the existing media-collection data is generated by analyzing a usage pattern of at least one of the client device and a peripheral device.
 12. The method of claim 11 wherein the peripheral device is a portable media player, and wherein the client device is a two-way mobile communication device.
 13. The method of claim 1 further comprising applying a widget chosen from a group comprising of a party widget, a personal detail widget, a tag widget, a guestbook widget, an internal messaging widget, a share widget, a photo widget, a tuned-in now widget, a post widget, a reviews widget, and a live event widget to the new mark-up language file.
 14. The method of claim 13 wherein the widget is a drag and drop widget, and wherein a content data created using the post widget is automatically displayed on the new mark-up language file and at least one of an artist mark-up language file, an album mark-up language file, a particular item mark-up language file, and a fan club mark-up language file.
 15. The method of claim 14 wherein the content data is displayed before other content data when a peer client device affiliated with the client device reaches the at least one of the artist mark-up language file, the album mark-up language file, the particular item mark-up language file, and the fan club mark-up language file through the new mark-up language file.
 16. The method of claim 1 further comprising: processing a payment from an interested party when the new mark-up language file develops a patron base above a threshold value; and displaying an advertisement of the interested party on the new mark-up language file.
 17. The method of claim 1 further comprising localizing the new mark-up language file in at least one of a plurality of languages comprising English, Japanese, Korean, Hindi, German, French, Russian, Arabic, Hebrew, Spanish, Mandarin, Cantonese, and Italian
 18. The method of claim 1 in a form of a machine-readable medium embodying a set of instructions that, when executed by a machine, causes the machine to perform the method of claim
 1. 19. A method of a client device comprising: communicating a media data to a server device to determine at least one meta-data identifier associated with the media data; and automatically refreshing a new mark-up language file using an existing media-collection data associated with certain items of the media data.
 20. The method of claim 19 further comprising applying the at least one meta-data identifier such that it is agnostic of a type of media player application compatible with the media data.
 21. The method of claim 19 further comprising developing an arrangement of the existing media-collection data associated with the certain items of the media data.
 22. A network comprising: a client device to apply at least one meta-data identifier such that it is agnostic of a type of media player application compatible with a media data; and a server device to automatically populate a new mark-up language file using a existing media-collection data associated with at least some content identified by the at least one meta-data identifier.
 23. The network of claim 22 further comprising: a peer client device that is assigned a kin status with the client device based on similarity between the existing media-collection data of the client device and another existing media-collection data of the peer client device.
 24. The network of claim 22 further comprising: an admired client device to share an admired media-collection data with the client device and the peer client device. 